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Ordinary least squares
Known as:
Ordinary Least Squares Regression
, Least-squares estimation of linear regression coefficients
, Normal equation
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In statistics, ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression model…
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Related topics
Related topics
50 relations
Akaike information criterion
Autocorrelation
Autoregressive model
Bayesian information criterion
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Broader (2)
Estimation theory
Least squares
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Local Sparse Representation Based Classification
Chun-Guang Li
,
Jun Guo
,
Honggang Zhang
International Conference on Pattern Recognition
2010
Corpus ID: 4348190
In this paper, we address the computational complexity issue in Sparse Representation based Classification (SRC). In SRC, it is…
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2010
2010
Learning Sparse Representation Using Iterative Subspace Identification
B. Gowreesunker
,
A. Tewfik
IEEE Transactions on Signal Processing
2010
Corpus ID: 11722921
In this paper, we introduce the iterative subspace identification (ISI) algorithm for learning subspaces in which the data may…
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Highly Cited
2009
Highly Cited
2009
THE TEMPERATURE–DENSITY RELATION OF THE INTERGALACTIC MEDIUM AFTER HYDROGEN REIONIZATION
S. Furlanetto
,
S. P. Oh
2009
Corpus ID: 16595703
We use an analytic model to study how inhomogeneous hydrogen reionization affects the temperature distribution of the…
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Highly Cited
2006
Highly Cited
2006
Control with building mass-Part I: Thermal response model
P. Armstrong
,
S. Leeb
,
L. Norford
2006
Corpus ID: 15145609
In this paper we derive a general model and reliable identification procedures that can be applied autonomously for on-line…
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Highly Cited
2006
Highly Cited
2006
Enabling Technologies for Next-Generation Optical Packet-Switching Networks
G. Chang
,
Jianjun Yu
,
Y. Yeo
,
A. Chowdhury
,
Z. Jia
Proceedings of the IEEE
2006
Corpus ID: 22829569
The optical packet-switching network is considered to be one of the most promising solutions for end-to-end delivery of high…
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2006
2006
The Relative Efficiency of Ranked Set Sampling in Ordinary Least Squares Regression
E. Murff
,
T. Sager
Environmental and Ecological Statistics
2006
Corpus ID: 46467598
Ranked set sampling was developed for situations where measurement cost is expensive compared with unit acquisition. This paper…
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Highly Cited
2006
Highly Cited
2006
Quality of institutions and foreign direct investment in developing countries: Causality tests for cross‐country panels
Hea-Jung Hyun
2006
Corpus ID: 55957902
Abstract This paper analyzes the short‐run and long‐run dynamics between quality of institutions and foreign direct investment…
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Highly Cited
1998
Highly Cited
1998
Regional hydrologic analysis: Ordinary and generalized least squares revisited
C. Kroll
,
J. Stedinger
1998
Corpus ID: 39152384
Generalized least squares (GLS) regional regression procedures have been developed for estimating river flow quantiles. A widely…
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Highly Cited
1983
Highly Cited
1983
Palladium catalyzed synthesis of heterocycles
K. Utimoto
1983
Corpus ID: 97607759
Abstract
Highly Cited
1966
Highly Cited
1966
Parametric Pumping: Dynamic Principle for Separating Fluid Mixtures
Victor S. H. Liu
,
Norman E. Lloyd
,
Khaja Khaleeluddin
,
pUMPNG Apparatus
1966
Corpus ID: 94699140
3,875,140 4/1975 Barker et al. ............................ 536/ OTHER PUBLICATIONS Chen et al., "Separation of Isomers via…
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